LiveOne (LVO) Accumulated Expenses (2011 - 2023)
LiveOne (LVO) reported Accumulated Expenses of $12.77 million for fiscal Q1 2024 (quarter ended Jun 30, 2023), up 2.1% from $12.5 million a year earlier and up 10.6% from the prior quarter.
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Analysis
LiveOne (LVO) Accumulated Expenses (2011 - 2023) Analysis & Trends
At the end of FY2023 (ended Mar 31, 2023), LiveOne posted Accumulated Expenses of $11.54 million, up 10.9% from FY2022.
- Accumulated Expenses has a five-year compound annual growth rate of 58.4% (FY2018 to FY2023).
- By fiscal year, Accumulated Expenses came in at $10.4 million in FY2022 (-24.5%), $13.79 million in FY2021 (+250.1%), $3.94 million in FY2020 (+56.3%) and $2.52 million in FY2019 (+117.5%).
- The fiscal Q1 2024 figure ranks as the highest quarterly Accumulated Expenses since fiscal Q3 2022.
- Year over year, Accumulated Expenses gained in four of the last eight quarters, with an average decline of 6.0%.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q3 2021 (growth of 296.6%); the low point was fiscal Q3 2023 (a decline of 65.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2024 came in at $11.54 million (Q4 2023), $5.43 million (Q3 2023) and $10.06 million (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | LiveOne | 35.31 Mn | 9.62 Mn | 3.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 12.77 Mn |
| Mar 31, 2023 | 11.54 Mn |
| Dec 31, 2022 | 5.43 Mn |
| Sep 30, 2022 | 10.06 Mn |
| Jun 30, 2022 | 12.50 Mn |
| Mar 31, 2022 | 10.40 Mn |
| Dec 31, 2021 | 15.93 Mn |
| Sep 30, 2021 | 16.84 Mn |
| Jun 30, 2021 | 19.29 Mn |
| Mar 31, 2021 | 13.79 Mn |
| Dec 31, 2020 | 12.54 Mn |
| Sep 30, 2020 | 9.45 Mn |
| Jun 30, 2020 | 4.91 Mn |
| Mar 31, 2020 | 3.94 Mn |
| Dec 31, 2019 | 3.16 Mn |
| Sep 30, 2019 | 3.80 Mn |
| Jun 30, 2019 | 2.62 Mn |
| Mar 31, 2019 | 2.52 Mn |
| Dec 31, 2018 | 2.52 Mn |
| Sep 30, 2018 | 2.14 Mn |
API Access
LiveOne Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=LVO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "LVO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=LVO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();